Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

30 508 projets complétés

2882
AB
5105
C.-B.
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projets par catégorie

Développement d’un algorithme d’estimation de la consommation de carburant en temps réel des moteurs à combustion interne de navires.

La réduction des émissions de gaz à effet de serre des navires est un enjeu important auquel fait face l’industrie maritime.
L’utilisation de techniques de navigation écoénergétique permet notamment aux armateurs de réduire de façon
significative leur consommation en carburant fossile. Toutefois, l’évaluation de l’efficacité de ces techniques est ralentie
par le manque de données quant à la consommation réelle de carburant des moteurs à combustion interne. Même si la
mesure directe du carburant à l’aide d’un débitmètre semble une solution évidente, celle-ci nécessite des modifications
importantes au niveau de la conduite d’entrée en carburant des moteurs, ce qui réduit sa fiabilité et freine son adoption
par les acteurs clés de l’industrie. Ce projet de recherche vise ainsi à développer un algorithme qui permettra d’estimer
avec précision la consommation de carburant en temps réel des moteurs. L’algorithme sera validé à l’aide de données
historiques de consommation recueillies pendant plusieurs années par l’entreprise OpDAQ Systèmes Inc. sur différents
navires. L’algorithme développé permettra aux armateurs québécois et canadiens d’évaluer l’efficacité des mesures
opérationnelles mises en place pour réduire leur consommation de carburant tout en minimisant les impacts négatifs et
les investissements initiaux nécessaires.

Voir la description complète du projet
Superviseur du corps professoral :

Maxime Berger

Étudiant :

Partenaire :

OpDAQ Systèmes

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Université du Québec à Rimouski

Programme :

Accelerate

Development of nonlinear models of bolted joints for the identification of damping mechanisms through friction in gas turbines

Bolted joints are the most common interface in PWC’s gas turbine aeroengines and are believed to be a significant source of structural damping in the system. However, very little is known about the actual mechanisms at play in the joints. By conducting a systematic bolted flange research program, experimental data on bolted joints and engine test data will be collected and analytical models will be developed for model verification and validation purposes. The goal is to improve stiffness and damping prediction of components involving bolted joints in a way that can be incorporated into a larger full engine transient dynamic model. Successful modelling and analytical prediction of bolted flange joints dynamics response will enable PWC to design and manufacture cost-effective and highly efficient sustainable engines for the aerospace industries and will let Canada further enhance its competitiveness and develop its industrial and technological advantages.

Voir la description complète du projet
Superviseur du corps professoral :

Mathias Legrand

Étudiant :

Partenaire :

Pratt & Whitney Canada

Discipline :

Engineering

Secteur :

Manufacturing; Mining; Professional, scientific and technical services

Université :

McGill University

Programme :

Accelerate

Developing Crop Consulting Mobile App

The main purpose of the project is finding a user preferred way of synchronization and user interaction on Android platform. The result of the experiment will help the applicant to design user friendly mobile application. As a result, the partner organization can get an android version of Croprecords.com with good user experience since the system will be optimized after evaluating users’ feedbacks.

Voir la description complète du projet
Superviseur du corps professoral :

Ralph Deters

Étudiant :

Partenaire :

CropPro Consulting

Discipline :

Computer science

Secteur :

Agriculture and Food

Université :

University of Saskatchewan

Programme :

Accelerate

High-Speed Blockchain Project, Phase 2

THIS IS A GENERIC TEXT PUT IN PLACE AS THERE WAS NO PROJECT OVERVIEW

Voir la description complète du projet
Superviseur du corps professoral :

Albert Danison

Étudiant :

Partenaire :

Dandelion Networks Inc.

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

George Brown College of Applied Arts and Technology

Programme :

Accelerate

Enhancing Ethical Sport: Evaluating the Canadian Centre for Ethics in Sport Outreach Initiatives

The Hope on the Horizon Tour is set to launch in the spring of 2023, and events/work focused on the True Sport initiative are continuing. Thus, the internship focuses on understanding and evaluating the depth of the knowledge transfer taking place throughout these initiatives – especially the Hope on the Horizon Tour.
This research aims research to:
1. Understand True Sport’s role in sport – how does it add value, and how could the CCES improve its impact?
2. Determine the outcomes from a knowledge transfer perspective for the Hope on the Horizon Tour. How successful was the CCES in improving the skills of the participants? Did participant understanding improve? If so, are they planning to act on their new skillset? What is the return on investment measured in terms of knowledge transferred and the consequently improved outcomes for sport as a result?
3. Provide recommendations for improving the impact of True Sport in the community and the knowledge transfer of future initiatives.
The project will offer insights into how to best design a knowledge transfer model and what the CCES should focus on in the future.

Voir la description complète du projet
Superviseur du corps professoral :

Lianne Foti

Étudiant :

Partenaire :

Canadian Centre for Ethics in Sport

Discipline :

Business

Secteur :

Administrative and support, waste management and remediation services; Arts, entertainment and recreation

Université :

University of Guelph

Programme :

Accelerate

Forest residue for value-added wood products by innovative thermal-hygro-mechanical modification

The proposal aims to develop a new technology that modifies forest residue such as logs and lumber into
value-added wood products. British Columbia (BC) has an abundance of residual fiber from clear-cut
logging, which includes small diameter logs, branches, and underutilized wood species such as aspen logs.
The goal is to support BC’s wood industry’s transformation from primary lumber production to secondary
wood processing of value-added products, especially for indigenous forests. The proposed technology uses
a combination of environmental friendly chemical treatment and radio frequency (RF) heating to modify lowvalue
lumber and timber from both sawmill operations and forest residue. The objectives of the research
are to investigate the mechanism of chemical treatment and RF heating, develop the modification process
technology for lumber and timber upgrading, and explore the proposed technology for log-to-timber
converting. The technology has the potential to improve the utilization of residual fiber and facilitate
sustainable and efficient resource utilization practices, reducing carbon footprints in the construction
industry.

Voir la description complète du projet
Superviseur du corps professoral :

Jianhui Zhou

Étudiant :

Partenaire :

Deadwood Innovations Ltd.

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Northern British Columbia

Programme :

Accelerate

Improving microangioscopic image visualization for use in stroke therapy

Ischemic stroke is caused by a blood clot within the blood vessels of the brain. A common technique to remove the blood clot is by using medical devices that can reach the clot through the arterial system. To properly deploy such devices, visualization of the blood vessels, clot, and therapy devices is required. This is currently performed using fluoroscopic techniques, which lack the ability to visualize the inside of the blood vessel. Vena Medical has developed the first miniaturized fiber bundle technology-based device for direct visualization of clots within the blood vessels of the brain. To enhance the output images of the device, an investigation into image processing techniques to address hardware limited image deficiencies, such as artifacts and distortion in the image, will be performed. The research performed will set the groundwork for more complex image processing techniques, allowing for Vena Medical to further distinguish itself as a leader in the market.

Voir la description complète du projet
Superviseur du corps professoral :

Stewart McLachlin;Alexander Wong

Étudiant :

Partenaire :

Vena Medical

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Waterloo

Programme :

Accelerate

Assessing the incidences of positive and negative behaviour and interactionbetween stray dogs and the community of Campo Largo, Brazil.

A special group of stray dogs in Brazil known as ‘community dogs’ has been the centre of interest for scientific researchers. These community dogs may hold the key to controlling stray dog populations around the world, as well as mitigating disease transmission between animals and humans. My proposed project will look at the different behaviours and interactions that these community stray dogs experience throughout their daily lives. I will observe how these dogs behave around humans, as well as their interactions with other animals. The expected outcome of this project is to better understand stray dogs and how to properly manage them. By understanding the role of stray dogs in communities, we can come up with better ways of controlling these populations without taking away from their welfare.

Voir la description complète du projet
Superviseur du corps professoral :

Marina von Keyserlingk

Étudiant :

Partenaire :

Federal University of Parana

Discipline :

Life Sciences

Secteur :

Education

Université :

The University of British Columbia

Programme :

Globalink Research Award

Applications of machine learning to improve hydrological model regionalisation

Hydrological streamflow models are commonly used to warn populations of extreme events. The parameters of these models are typically calibrated to observed streamflow. The learned parameters can then be transferred to areas that are lacking streamflow observations, a process referred to as regionalisation. This project builds on previous work, which proposed using machine learning models to improve methods for regionalisation. Specifically, the project intents to expand previous work from local case studies to a large scale national model. Furthermore, the project aims to advance the machine learning component, exploring different machine learning algorithms and configurations.

Voir la description complète du projet
Superviseur du corps professoral :

Usman Khan

Étudiant :

Partenaire :

Aix-Marseille Université

Discipline :

Engineering

Secteur :

Education

Université :

York University

Programme :

Globalink Research Award

Characterization of legacy and expected future mine rock at the Grassy Mountain Project site using traditional and advanced kinetic testing

Mining operations generate large amounts of unused geomaterials (e.g., mine rock) that are generally stored on site in mine
rock storage facilities (MRSFs). When mine rock is exposed to atmospheric conditions (i.e., atmospheric oxygen as air and
water) sulfide minerals oxidize and produce acid rock drainage (ARD). The acidic effluent can subsequently leach metal ions
from adjacent rocks (and the mine rock itself). The Grassy Mountain Project is a proposed metallurgical coal mine located on
previously mined land in the Crowsnest Pass near Blairmore Alberta. The previous mine was abandoned in the 1970’s with
no rehabilitation or reclamation. If not properly controlled and treated, the ARD and metal leaching (ML) can create
environmental and health concerns for wildlife and human populations reliant on local watersheds. The intern identified in
this proposal will undertake advanced testing of the legacy and expected future mine rock at Grassy Mountain to examine
how mine rock evolves with time using advanced customized leach columns (ACLCs) to quantify the production of ML-ARD.
The primary outcome of this project will provide the partner companies with a better understanding of mine rock evolution
and the controls that govern ML-ARD production in MRSFs.

Voir la description complète du projet
Superviseur du corps professoral :

Laura Smith

Étudiant :

Partenaire :

Northback;Okane Consultants

Discipline :

Engineering

Secteur :

Mining

Université :

University of Saskatchewan

Programme :

Accelerate

Design Optimization and Prototyping of a Travelling Waves-Based Transmission Line Fault Locator

Modern power systems are expected to provide an uninterrupted supply of power to its consumers. Faults occurring in transmission lines can lead to extended outages if they are not quickly repaired. When a transmission line is hundreds of kilometers long and passes through difficult to access terrain, locating the faulted point is very important to reduce the repair time. The first step of this is to send the repair crews to the right location. Fault location by manual inspection is time consuming, costly and inefficient. These concerns make fast and accurate identification of the location of faults on transmission lines highly important. This project intends to optimize the design of the fault locating device that determines the fault location by measuring the arrival times of voltage and current waves created when a fault happens. This unit is to be integrated with the fault recorders manufactured by ERLPhase Power Technologies Ltd. Located in Winnipeg, Manitoba, Canada. The project will train a Master’s student with multiple technical skills sought after in the industry.

Voir la description complète du projet
Superviseur du corps professoral :

Athula Rajapakse

Étudiant :

Partenaire :

ERLPhase Power Technologies

Discipline :

Engineering

Secteur :

Manufacturing; Professional, scientific and technical services

Université :

University of Manitoba

Programme :

Accelerate

The behavior of germanium in the purification of zinc sulfate electrolyte

Zinc is extracted from sulfide ore by roasting – calcine leaching and direct pressure leaching of zinc sulfide, followed by zinc recovery from sulfate solution via electrowinning. Impurity elements in zinc sulfate solution must be lowered to levels suitable for electrowinning. The removal of many impurity elements is achieved using zinc dust cementation. However, when germanium concentration in solution exceeds a certain value, certain impurity elements re-dissolve back into solution, leading to inefficient removal. This research will seek to understand how higher germanium levels impact the performance of a zinc cementation circuit and identify ways to mitigate these effects.

Voir la description complète du projet
Superviseur du corps professoral :

Wenying Liu;David Dreisinger

Étudiant :

Partenaire :

Teck Metals Ltd

Discipline :

Engineering

Secteur :

Manufacturing; Mining

Université :

The University of British Columbia

Programme :

Accelerate

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Mitacs est financé par le gouvernement du Canada, le gouvernement de l’Alberta, le gouvernement de la Colombie-Britannique, Research Manitoba, le gouvernement du Nouveau-Brunswick, le gouvernement de la Nouvelle-Écosse, le gouvernement de l’Ontario, Innovation PEI, le gouvernement du Québec, le gouvernement de la Saskatchewan, le gouvernement de Terre-Neuve-et-Labrador et le gouvernement du Yukon.